基于SpringBoot的脑动脉瘤辅助诊断系统设计与实现

Design and Implementation of Cerebral Aneurysm Auxiliary Diagnosis System Based on SpringBoot

脑动脉瘤是造成蛛网膜下腔出血的重要病因,其种类繁杂,在形态和临床表现等方面多具异质性,基于医学影像及病理图像的精准判断对治疗脑动脉瘤具有重要价值。文章设计开发了一种基于SpringBoot的脑动脉瘤智能辅助诊断平台,主要包含脑动脉瘤智能诊断、脑动脉瘤在线病房和脑动脉瘤康复记录三大功能模块。首先获取用户的活检细胞成像图,将其上传至云端服务器;其次利用图像分析、可视化分析和底层内置图像标注算法,生成辅助诊断病历;最后发送到医生客户端以辅助病情诊断。此系统可以为患者提供更快速、便捷的诊疗辅助服务,以及为临床医生的诊断提供科学的参考依据,还可部分缓解优质医疗资源分布不均的问题。

Cerebral aneurysm is an important cause of subarachnoid hemorrhage,with diverse types and heterogeneity in morphology and clinical manifestations.Accurate diagnosis based on medical and pathological images is of great value for the treatment of cerebral aneurysms.The paper designs and develops an intelligent auxiliary diagnosis platform for cerebral aneurysm based on SpringBoot,which mainly includes three functional modules of intelligent diagnosis of cerebral aneurysm,online ward for cerebral aneurysm,and rehabilitation records for cerebral aneurysm.Firstly,it obtains the user's biopsy cell imaging image and uploads it to the cloud server.Secondly,it utilizes image analysis,visualization analysis,and underlying builtin image annotation algorithms to generate auxiliary diagnostic medical records.Finally,it sends it to the doctor's client to assist in diagnosing the condition.This system can provide patients with faster and more convenient diagnosis and treatment assistance services,as well as scientific reference for clinical doctors'diagnosis.It can also partially alleviate the problem of uneven distribution of high-quality medical resources.